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Energy Modeling Of Wireless Sensor Nodes Based On Petri Nets, Ali Shareef, Yifeng Zhu
Energy Modeling Of Wireless Sensor Nodes Based On Petri Nets, Ali Shareef, Yifeng Zhu
Yifeng Zhu
Energy minimization is of great importance in wireless sensor networks in extending the battery lifetime. Accurately understanding the energy consumption characteristics of each sensor node is a critical step for the design of energy saving strategies. This paper develops a detailed probabilistic model based on Petri nets to evaluate the energy consumption of a wireless sensor node. The model factors critical components of a sensor node, including processors with emerging energy-saving features, wireless communication components, and an open or closed workload generator. Experimental results show that this model is more flexible and accurate than Markov models. The model provides a …
Energy Modeling Of Processors Inwireless Sensor Networks Based On Petri Nets, Ali Shareef, Yifeng Zhu
Energy Modeling Of Processors Inwireless Sensor Networks Based On Petri Nets, Ali Shareef, Yifeng Zhu
Yifeng Zhu
Power minimization is a serious issue in wireless sensor networks to extend the lifetime and minimize costs. However, in order to gain an accurate understanding of issues regarding power minimization, modeling techniques capable of accurately predicting energy consumption are needed. This paper demonstrates that Petri nets are a viable option of modeling a processor. In fact, this paper shows that the Petri nets’ accuracy surpasses a Markov model utilizing supplementary variables to account for constant delays.
Localization Using Extended Kalman Filters In Wireless Sensor Networks, Ali Shareef, Yifeng Zhu
Localization Using Extended Kalman Filters In Wireless Sensor Networks, Ali Shareef, Yifeng Zhu
Yifeng Zhu
Introduction: Localization arises repeatedly in many location-aware applications such as navigation, autonomous robotic movement, and asset tracking. Analytical localization methods include triangulation and trilateration. Triangulation uses angles, distances, and trigonometric relationships to locate an object. Trilateration, on the other hand, uses only distance measurements to identify the position of the target.